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arabic_speech_ASR_Whisper

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  1. README.md +12 -7
  2. adapter_model.safetensors +1 -1
  3. runs/Mar05_20-16-49_0636577db738/events.out.tfevents.1709669809.0636577db738.3165.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2790
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  ## Model description
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@@ -43,17 +43,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.1445 | 1.0 | 134 | 0.3014 |
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- | 0.0759 | 2.0 | 268 | 0.2941 |
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- | 0.0428 | 3.0 | 402 | 0.3184 |
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- | 0.0124 | 4.0 | 536 | 0.2744 |
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- | 0.0044 | 5.0 | 670 | 0.2790 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3188
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.2742 | 1.0 | 134 | 0.3322 |
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+ | 0.155 | 2.0 | 268 | 0.3044 |
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+ | 0.1179 | 3.0 | 402 | 0.3179 |
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+ | 0.0498 | 4.0 | 536 | 0.2988 |
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+ | 0.0334 | 5.0 | 670 | 0.2914 |
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+ | 0.0184 | 6.0 | 804 | 0.2996 |
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+ | 0.007 | 7.0 | 938 | 0.3169 |
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+ | 0.0095 | 8.0 | 1072 | 0.3081 |
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+ | 0.0024 | 9.0 | 1206 | 0.3148 |
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+ | 0.0022 | 10.0 | 1340 | 0.3188 |
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  ### Framework versions
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